Perspectives on Artificial Intelligence and Internet of Things for Sustainable Environment

Herausgeber: Jeon, Gwanggil; Katal, Nitish; Sharma, Bhisham

• Broschiertes Buch

Produktbeschreibung

Perspectives on Artificial Intelligence and Internet of Things for Sustainable Environment addresses urgent environmental issues stemming from urbanization, deforestation, and pollution by harnessing the power of artificial intelligence and the Internet of Things. This book offers readers crucial insights into how AI can be integrated with IoT, providing the knowledge necessary for leveraging these technologies to foster a sustainable future. In addition to theoretical knowledge, this book serves as a practical guide, offering tailored practices for AI and IoT integration. Case studies provide hands-on experience, empowering readers to make informed decisions on selecting and applying various AI and IoT frameworks for environmental sustainability.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 450
• Erscheinungstermin: 1. Oktober 2025
• Englisch
• ISBN-13: 9780443342547
• ISBN-10: 0443342547
• Artikelnr.: 73602088

Inhaltsangabe

Part 1: Foundations
1. Basics of the Internet of Things (IoT)
2. Basics of Image and Signal Processing applied to the Processing and
Analysis of Environmental Data
3. Basics of Deep Learning Enabling Smart Ecosystems
4. Basics on Integrating AI and IoT Techniques for Developing Smart
Environmental Systems
Part 2: AI Techniques and Distributed Computing
5. Deep Learning Methods for Image Recognition and Classification in Smart
Environmental Systems
6. Development of Smart Environmental Systems using Fog and Edge Computing
7. Computing Techniques for Resource Constrained Smart Environmental
Environments
8. Big Data Techniques for Monitoring Sustainable Development and
Environmental Changes
Part 3: Applications and Case Studies
9. AI-powered Smart Grids with Edge Computing in Renewable Energy
10. Weather Prediction and Forecasting
11. Precision Agriculture with AI and IoT
12. AI for the Real-Time Pollution Monitoring and Control
13. Collaborative Edge-Cloud Computing for Sustainable Waste Management
14. Integration of AI and IOT for Oceanic Pollution Detection
15. Application of AI and IOT for Forest Fire Detection
16. Monitoring the Climate Change using AI and IOT
17. Glacial ecology
18. Optimizing Water Resources and Conservation
19. Conserving Biodiversity and Protecting Endangered Species
Part 4: Challenges and Future Directions
20. Ethical and Societal Challenges of AI and IOT for Sustainable
Development
21. Outlook on Current Challenges and Future Directions
Part 5: Conclusion
22. A Roadmap for Utilizing AI and IoT for Sustainable Development